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Fraud Strategy Remote Jobs in New Jersey (NOW HIRING)

This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and ... Processes charged-off financings including litigation, asset discovery and fraud investigations.

This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and ... Processes charged-off financings including litigation, asset discovery and fraud investigations.

Asset Commercialization Partner

Parsippany, NJ · On-site +1

$168K - $469K/yr

Conduct strategy sessions with clients to outline an integrated commercial launch plan, with ... remote or based in a US IQVIA office location. IQVIA is a leading global provider of clinical ...

Deliver remote patient education, including medication administration training and adherence ... and strategic planning, and assist in onboarding and mentoring new team members as needed.

Deliver remote patient education, including medication administration training and adherence ... and strategic planning, and assist in onboarding and mentoring new team members as needed.

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Fraud Strategy Remote information

What is the difference between Fraud Strategy Remote vs Fraud Analyst Remote?

AspectFraud Strategy RemoteFraud Analyst Remote
Primary FocusDeveloping and implementing fraud prevention strategiesDetecting and investigating fraudulent activities
Required SkillsStrategic thinking, data analysis, policy developmentAnalytical skills, attention to detail, investigation techniques
CertificationsFraud examination, risk management certifications often preferredCertifications like CFE (Certified Fraud Examiner) common
Work EnvironmentCollaborative, policy-driven, strategic planningInvestigative, data-focused, operational

While both roles involve combating fraud remotely, Fraud Strategy Remote focuses on creating prevention strategies and policies, whereas Fraud Analyst Remote emphasizes detecting and investigating fraud cases. Understanding these differences helps in choosing the right career path or job search focus within the fraud prevention industry.

What are popular job titles related to Fraud Strategy Remote jobs in New Jersey?

For Fraud Strategy Remote jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Fraud Strategy Remote jobs in New Jersey look for?

The top searched job categories for Fraud Strategy Remote jobs in New Jersey are:

What cities in New Jersey are hiring for Fraud Strategy Remote jobs?

Cities in New Jersey with the most Fraud Strategy Remote job openings:

Infographic showing various Fraud Strategy Remote job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

Re-posted 2 days ago


Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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